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Title:

Analyzing and Improving the Performance of Dynamic Message Sign Reporting Work Zone–Related Congestion

Accession Number:

01627730

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/9780309441667

Abstract:

Dynamic message sign (DMS) systems aim to provide realistic, reliable, and real-time traffic information to roadway users. This study investigated the performance of a DMS present at a work zone that warns drivers of any imminent congestion. A work zone in Davenport, Iowa, was used as the test site to evaluate the performance and the proposed algorithm improvements. A typical automated DMS uses a dedicated sensor measuring speed or occupancy and simple thresholds to post messages warning drivers of the congestion by using a set of predefined messages such as "Traffic Delays Possible," "Slow Traffic Ahead," and "Stopped Traffic Ahead." On the basis of field observation, it was found that these simplistic algorithms lead to a significant number of very short messages, erroneous messages during nighttime, and groups of messages that continuously alternate between different displays. This study first developed performance metrics to report the issues with the existing DMS automated programming logic and then proposed a machine learning–based real-time algorithm for improved operations.

Monograph Accession #:

01632438

Report/Paper Numbers:

17-04803

Language:

English

Authors:

Wang, Shefang
Sharma, Anuj
Knickerbocker, Skylar

Pagination:

pp 71–77

Publication Date:

2017

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2617
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309441667

Media Type:

Digital/other

Features:

Figures (7) ; References (15)

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:50AM

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